Job
Description
Role Overview: As an Artificial Intelligence/ Machine Learning Engineer at Bain & Company, you will collaborate with data scientists to design, deploy, and fine-tune intelligent agents and chains-based applications. You will also be responsible for developing and maintaining front-end interfaces for AI and data science applications, integrating machine learning models with backend systems, and translating complex business problems into scalable technical solutions. Key Responsibilities: - Collaborate with data scientists to design, fine-tune, and deploy intelligent agents and chains-based applications - Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH - Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django - Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems - Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL - Leverage containerization tools like Docker and utilize Git for version control - Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure - Contribute to internal AI/ML Ops platforms and tools - Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn Qualifications Required: - A Masters degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered - Proven experience (2 years for Masters; 3+ years for Bachelors) in AI/ML, software development, and data engineering - Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies - Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization - Experience working with modern Python frameworks such as FastAPI for backend API development - Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus - Strong grasp of data engineering concepts including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc - Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices - Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes) - Good-to-have: Experience in BI tools such as Tableau or PowerBI - Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain Role Overview: As an Artificial Intelligence/ Machine Learning Engineer at Bain & Company, you will collaborate with data scientists to design, deploy, and fine-tune intelligent agents and chains-based applications. You will also be responsible for developing and maintaining front-end interfaces for AI and data science applications, integrating machine learning models with backend systems, and translating complex business problems into scalable technical solutions. Key Responsibilities: - Collaborate with data scientists to design, fine-tune, and deploy intelligent agents and chains-based applications - Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH - Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django - Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems - Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL - Leverage containerization tools like Docker and utilize Git for version control - Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure - Contribute to internal AI/ML Ops platforms and tools - Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn Qualifications Required: - A Masters degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered - Proven experience (2 years for Masters; 3+ years for Bachelors) in AI/ML, software development, and data engineering - Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies - Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization - Experience working with modern Python frameworks such as FastAPI for backend
